Going for distance and going for speed: Effort and optical variables shape information for distance perception from observation to response

Visually guided distance perception reflects a relationship of geometrical optical variables with the effort required when traversing the distance. We probed how the representations encoding optical variables might define this relationship. Participants visually judged distances on sloped surfaces and reproduced these distances over flat terrain by walking while blindfolded. We examined the responses for the effects of optical variables (i.e., angular declinations from eye height) and tested whether four measures of trial-by-trial effort moderated the use of the represented optical variables. We predicted that observation time and response speed relative to the observed distance would accentuate the effects of encoded optical variables, and that response time and response speed relative to the traversed distance would reduce the effects of those variables. The results confirmed all of the effects except those of observation time. Given the benefits of longer study for strengthening a memory trace, the failure of observation time to predict the use of optical variables raises questions about the representational encoding of visual traces for distance perception. Relationships among optical variables and other effort measures implicate the interaction of processes across multiple time scales, as in cascade dynamics. Cascade dynamics may provide new directions for accounts of visually guided distance perception.

[1]  E. Mayer,et al.  Representation of anatomical constraints in motor imagery: Mental rotation of a body segment , 2003, Brain and Cognition.

[2]  Benoît G. Bardy,et al.  Affordance Judgments and Nonlocomotor Body Movement , 2005 .

[3]  D. Schertzer,et al.  Uncertainty and Predictability in Geophysics: Chaos and Multifractal Insights , 2013 .

[4]  Rick Dale,et al.  Explanatory Pluralism in Cognitive Science , 2009, Cogn. Sci..

[5]  E. Phelps,et al.  Does Reconsolidation Occur in Humans? , 2011, Front. Behav. Neurosci..

[6]  Zijiang J. He,et al.  Perceptual Space in the Dark Affected by the Intrinsic Bias of the Visual System , 2006, Perception.

[7]  John W. Philbeck,et al.  Eye movement patterns during judgments of absolute distance in natural environments , 2012 .

[8]  J. Sanes,et al.  Experience-Dependent Activation Patterns in Human Brain during Visual-Motor Associative Learning , 2003, The Journal of Neuroscience.

[9]  Michael X. Cohen,et al.  Working Memory Maintenance Contributes to Long-term Memory Formation: Neural and Behavioral Evidence , 2005, Journal of Cognitive Neuroscience.

[10]  E. Goldfield Emergent Forms: Origins and Early Development of Human Action and Perception , 1995 .

[11]  Steven L. Wise,et al.  An Application of Item Response Time: The Effort‐Moderated IRT Model , 2006 .

[12]  Iseult A. M. Beets,et al.  Neural Competition for Conscious Representation across Time: An fMRI Study , 2010, PloS one.

[13]  D. Proffitt,et al.  Action-specific influences on distance perception: a role for motor simulation. , 2008, Journal of experimental psychology. Human perception and performance.

[14]  Friedrich G. Barth,et al.  Compound slit sense organs on the spider leg: Mechanoreceptors involved in kinesthetic orientation , 1972, Journal of comparative physiology.

[15]  Michael L. Anderson Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects , 2008 .

[16]  J. Fung,et al.  Evidence for the use of rotational optic flow cues for locomotor steering in healthy older adults. , 2011, Journal of neurophysiology.

[17]  Dennis R. Proffitt,et al.  Two memories for geographical slant: Separation and interdependence of action and awareness , 1998, Psychonomic bulletin & review.

[18]  P. N. Kugler,et al.  Information, Natural Law, and the Self-Assembly of Rhythmic Movement , 2015 .

[19]  A. Hollingworth Visual memory for natural scenes: Evidence from change detection and visual search , 2006 .

[20]  William H. Warren,et al.  Optic flow is used to control human walking , 2001, Nature Neuroscience.

[21]  Leslie G. Ungerleider,et al.  The neural systems that mediate human perceptual decision making , 2008, Nature Reviews Neuroscience.

[22]  Michael T. Turvey,et al.  On strong anticipation , 2010, Cognitive Systems Research.

[23]  R. A. Brooks,et al.  Intelligence without Representation , 1991, Artif. Intell..

[24]  Zijiang J. He,et al.  Inaccurate Representation of the Ground Surface beyond a Texture Boundary , 2007, Perception.

[25]  E. D. Paolo,et al.  The enactive approach: Theoretical sketches from cell to society , 2011 .

[26]  G. Binsted,et al.  Visuomotor representation decay: influence on motor systems , 2006, Experimental Brain Research.

[27]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[28]  John W Philbeck,et al.  The various perceptions of distance: an alternative view of how effort affects distance judgments. , 2009, Journal of experimental psychology. Human perception and performance.

[29]  Michael Jenkin,et al.  Humans can use optic flow to estimate distance of travel , 2001, Vision Research.

[30]  Damian G. Kelty-Stephen,et al.  Fractal Fluctuations in Quiet Standing Predict the Use of Mechanical Information for Haptic Perception , 2012, Annals of Biomedical Engineering.

[31]  Michael A Babyak,et al.  What You See May Not Be What You Get: A Brief, Nontechnical Introduction to Overfitting in Regression-Type Models , 2004, Psychosomatic medicine.

[32]  J. Fodor The Mind Doesn't Work That Way : The Scope and Limits of Computational Psychology , 2000 .

[33]  Damian G. Kelty-Stephen,et al.  When physics is not "just physics": complexity science invites new measurement frames for exploring the physics of cognitive and biological development. , 2012, Critical reviews in biomedical engineering.

[34]  Tracy L Taylor,et al.  Forgetting is effortful: Evidence from reaction time probes in an item-method directed forgetting task , 2008, Memory & cognition.

[35]  D. Proffitt Embodied Perception and the Economy of Action , 2006, Perspectives on psychological science : a journal of the Association for Psychological Science.

[36]  Jonathan R. Zadra,et al.  Direct Evidence for the Economy of Action: Glucose and the Perception of Geographical Slant , 2010, Perception.

[37]  J. Witt Action’s Effect on Perception , 2011 .

[38]  Jack M. Loomis,et al.  Does Energy Expenditure Affect the Perception of Egocentric Distance? A Failure to Replicate Experiment 1 of Proffitt, Stefanucci, Banton, and Epstein (2003) , 2006, The Spanish Journal of Psychology.

[39]  Michael J. Spivey,et al.  The Continuity Of Mind , 2008 .

[40]  R. T. Kellogg,et al.  Cognitive effort during note taking , 2005 .

[41]  Mark H. Bickhard,et al.  Why Children Don't Have To Solve the Frame Problems: Cognitive Representations Are Not Encodings. , 2001 .

[42]  Gualtiero Piccinini,et al.  Information processing, computation, and cognition , 2011, Journal of biological physics.

[43]  Linda B. Smith,et al.  A Dynamic Systems Approach to the Development of Cognition and Action , 2007, Journal of Cognitive Neuroscience.

[44]  J. Singer,et al.  Applied Longitudinal Data Analysis , 2003 .

[45]  M. Laurent,et al.  Attentional load associated with performing and stabilizing a between-persons coordination of rhythmic limb movements. , 2004, Acta psychologica.

[46]  Zijiang J. He,et al.  Distance determined by the angular declination below the horizon , 2001, Nature.

[47]  Karl M. Newell,et al.  Attentional focus influences the walk–run transition in human locomotion , 2003, Biological Psychology.

[48]  Damian G. Stephen,et al.  Prism adaptation of underhand throwing: Rotational inertia and the primary and latent aftereffects , 2009, Neuroscience Letters.

[49]  J T Corlett,et al.  The effect of perceived locomotor constraints on distance estimation. , 1990, Journal of motor behavior.

[50]  Jodie A. Baird,et al.  Who is being deceived? The experimental demands of wearing a backpack , 2009, Psychonomic bulletin & review.

[51]  Jeanine K. Stefanucci,et al.  The Role of Effort in Perceiving Distance , 2003, Psychological science.

[52]  J. Philbeck,et al.  Visual Perception of Location and Distance , 1996 .

[53]  Daniel Mirman,et al.  Gaze fluctuations are not additively decomposable: Reply to Bogartz and Staub , 2013, Cognition.

[54]  A. Inhoff,et al.  Temporal dynamics of the eye–voice span and eye movement control during oral reading , 2011 .

[55]  David R. Shanks,et al.  Attentional load and implicit sequence learning , 2005, Psychological research.

[56]  A. Sirigu,et al.  Sense Of Motor Effort in Patients with Schizophrenia , 2006, Cortex.

[57]  J. Adams,et al.  A closed-loop theory of motor learning. , 1971, Journal of motor behavior.

[58]  Béla Suki,et al.  Fluctuations and power laws in pulmonary physiology. , 2002, American journal of respiratory and critical care medicine.

[59]  M. Teich,et al.  Fractal character of the neural spike train in the visual system of the cat. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.

[60]  Luís A. Nunes Amaral,et al.  From 1/f noise to multifractal cascades in heartbeat dynamics. , 2001, Chaos.

[61]  Fulvio Domini,et al.  Dynamic Manipulation Generates Touch Information That Can Modify Vision , 2013, Psychological science.

[62]  Beatrix Vereijken,et al.  Interaction-dominant dynamics in human cognition: beyond 1/f(alpha) fluctuation. , 2010, Journal of experimental psychology. General.

[63]  M. Jeannerod Neural Simulation of Action: A Unifying Mechanism for Motor Cognition , 2001, NeuroImage.

[64]  Zijiang J. He,et al.  Perceiving distance accurately by a directional process of integrating ground information , 2004, Nature.

[65]  S. Hétu,et al.  Visuomotor Representations within the Human Primary Motor Cortex: The Elusive Markers of Visuomotor Associative Learning , 2012, Journal of Neuroscience.

[66]  J. S. Jordan,et al.  Systems theories and a priori aspects of perception , 1998 .

[67]  Wilfried Kunde,et al.  Journal of Experimental Psychology: Human Perception and Performance Visual Near Space Is Scaled to Parameters of Current Action Plans , 2012 .

[68]  M. Proschan,et al.  Multiple comparisons with control in a single experiment versus separate experiments : why do we feel differently ? , 1995 .

[69]  Simon Finnigan,et al.  fMRI evidence of word frequency and strength effects in recognition memory. , 2005, Brain research. Cognitive brain research.

[70]  Willy P Aspinall,et al.  Volcanic Activity: Frontiers and Challenges in Forecasting, Prediction and Risk Assessment , 2013 .

[71]  Daniel A Gajewski,et al.  From the Most Fleeting of Glimpses , 2010, Psychological science.

[72]  John R. Searle,et al.  Minds, brains, and programs , 1980, Behavioral and Brain Sciences.

[73]  J. Gibson The Ecological Approach to Visual Perception , 1979 .

[74]  D. Proffitt Affordances matter in geographical slant perception , 2009, Psychonomic bulletin & review.

[75]  W. Sparrow,et al.  Ageing effects on the attention demands of walking. , 2002, Human movement science.

[76]  F. Craik,et al.  Levels of Pro-cessing: A Framework for Memory Research , 1975 .

[77]  Gualtiero Piccinini,et al.  Computational explanation in neuroscience , 2006, Synthese.

[78]  Sridhar Kalluri,et al.  Objective measures of listening effort: effects of background noise and noise reduction. , 2009, Journal of speech, language, and hearing research : JSLHR.

[79]  Rich Gossweiler,et al.  Perceiving geographical slant , 1995, Psychonomic bulletin & review.

[80]  A. Chemero Radical Embodied Cognitive Science , 2009 .

[81]  J. Adams Response feedback and learning. , 1968 .

[82]  B. Hommel PERCEIVING ONE'S OWN ACTION : AND WHAT IT LEADS TO , 1998 .

[83]  J. Concato,et al.  A simulation study of the number of events per variable in logistic regression analysis. , 1996, Journal of clinical epidemiology.

[84]  G. V. van Orden,et al.  Dispersion of response times reveals cognitive dynamics. , 2009, Psychological review.

[85]  P. Tsang,et al.  Viability of resource theories in explaining time-sharing performance. , 1996, Acta psychologica.

[86]  J. Richeson,et al.  Regulatory focus and executive function after interracial interactions , 2006 .

[87]  Steven J. Harrison,et al.  Place learning by mechanical contact , 2010, Journal of Experimental Biology.

[88]  John R. Searle,et al.  Is the Brain a Digital Computer , 1990 .

[89]  J. Loomis,et al.  Visual space perception and visually directed action. , 1992 .

[90]  Gualtiero Piccinini,et al.  Neural Computation and the Computational Theory of Cognition , 2013, Cogn. Sci..

[91]  Nick Chater,et al.  From Universal Laws of Cognition to Specific Cognitive Models Candidate Principles 1: Scale Invariance Candidate Law 2: the Simplicity Principle , 2008 .

[92]  Damian G. Stephen,et al.  The role of fractality in perceptual learning: exploration in dynamic touch. , 2010, Journal of experimental psychology. Human perception and performance.

[93]  Karl J. Friston,et al.  Perception and self-organized instability , 2012, Front. Comput. Neurosci..

[94]  Jeanine K. Stefanucci,et al.  Distances appear different on hills , 2005, Perception & psychophysics.

[95]  Martin V. Butz,et al.  Influence of Motor Planning on Distance Perception within the Peripersonal Space , 2012, PloS one.

[96]  T. Järvilehto,et al.  The role of anticipation in reading , 2009 .

[97]  J. Kalaska,et al.  Neural mechanisms for interacting with a world full of action choices. , 2010, Annual review of neuroscience.

[98]  Alen Hajnal,et al.  Transfer of calibration between hand and foot: Functional equivalence and fractal fluctuations , 2011, Attention, perception & psychophysics.

[99]  Guy van Orden,et al.  Searching for General Principles in Cognitive Performance: Reply to Commentators , 2012, Top. Cogn. Sci..

[100]  J. Gibson The perception of the visual world , 1951 .

[101]  Jianbo Gao,et al.  Multiplicative multifractal modeling and discrimination of human neuronal activity [rapid communication] , 2005 .

[102]  M. Jeannerod,et al.  The timing of mentally represented actions , 1989, Behavioural Brain Research.

[103]  Kenneth J. Malmberg,et al.  A buffer model of memory encoding and temporal correlations in retrieval. , 2013, Psychological review.

[104]  D. Kahneman,et al.  Attention and Effort , 1973 .

[105]  Robert Rosen,et al.  Anticipatory systems : philosophical, mathematical, and methodological foundations , 1985 .

[106]  Damian G. Stephen,et al.  Self-training of dynamic touch: Striking improves judgment by wielding , 2009, Attention, perception & psychophysics.

[107]  Elliot Saltzman,et al.  A Tutorial on Multifractality, Cascades, and Interactivity for Empirical Time Series in Ecological Science , 2013 .

[108]  M. Jeannerod Mental imagery in the motor context , 1995, Neuropsychologia.

[109]  Jeff Yoshimi,et al.  Active internalism and open dynamical systems , 2012 .

[110]  Frank E. Pollick,et al.  Motor Simulation without Motor Expertise: Enhanced Corticospinal Excitability in Visually Experienced Dance Spectators , 2012, PloS one.

[111]  R. Chua,et al.  Decay in Visuomotor Representations During Manual Aiming , 2006, Journal of motor behavior.

[112]  C. Ranganath,et al.  Dorsolateral Prefrontal Cortex Promotes Long-Term Memory Formation through Its Role in Working Memory Organization , 2006, The Journal of Neuroscience.

[113]  Marco Schieppati,et al.  Does order and timing in performance of imagined and actual movements affect the motor imagery process? The duration of walking and writing task , 2002, Behavioural Brain Research.

[114]  G. V. van Orden,et al.  Self-organization of cognitive performance. , 2003, Journal of experimental psychology. General.